Landslide Detection and Monitoring Using Remote Sensing Techniques

Landslides are complex natural disasters influenced by factors such as rainfall, snowmelt, and human activities, posing significant risks to over 375 million people worldwide. Effective landslide detection and monitoring are crucial for mitigating these hazards, particularly in densely populated areas and regions with valuable infrastructure. Remote sensing technology, with its ability to provide consistent, large-scale, and cost-efficient data, has emerged as a pivotal tool in this field. This manuscript reviews the advancements and applications of remote sensing techniques for landslide detection and monitoring. Various remote sensing methods, including satellite imagery, Light Detection and Ranging (LiDAR), and RADAR, offer diverse capabilities for detecting and monitoring landslide activities. These technologies enable the creation of detailed topographic maps, monitoring of slope movements, and early warning systems, significantly improving hazard assessment and risk mitigation strategies. Despite the technological advancements, challenges remain in data integration and interpretation, necessitating continued research and collaboration among geologists, remote sensing experts, and disaster management professionals. This review aims to provide a comprehensive overview of current remote sensing techniques and discuss future directions to enhance landslide detection and monitoring efforts.